โ Scribed by Wiebe R. Pestman; Ivo B. Alberink
No coin nor oath required. For personal study only.
Chapter 1. Probability theory
1.1 Summary of Chapter I
1.2 Exercises to Chapter I
Chapter 2. Statistics and their probability distributions, estimation theory
2.1 Summary of Chapter II
2.2 Exercises to Chapter II
Chapter 3. Hypothesis testing
3.1 Summary of Chapter III
3.2 Exercises to Chapter III
Chapter 4. Simple regression analysis
4.1 Summary of Chapter IV
4.2 Exercises to Chapter IV
Chapter 5. Normal analysis of variance
5.1 Summary of Chapter V
5.2 Exercises to Chapter V
Chapter 6. Non-parametric methods
6.1 Summary of Chapter VI
6.2 Exercises to Chapter VI
Chapter 7. Stochastic analysis and its applications in statistics
7.1 Summary of Chapter VII
7.2 Exercises to Chapter VII
Chapter 8. Vectorial statistics
8.1 Summary of Chapter VIII
Statistical tables
๐ SIMILAR VOLUMES
This book consists of four hundred exercises in mathematical statistics and their solutions, over 95% of which are in the author's Mathematical Statistics, Second Edition (Springer, 2003). For students preparing for work on a Ph.D. degree in statistics and instructors of mathematical statistics cour
Covering topics in statistical theory essential for graduate students preparing for work on a PhD degree in statistics, this is a stand-alone book, which can also be used with "Mathematical Statistics". To help readers, who are not using that book, it contains lists of notation, terminology, and som